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Applied NonParametric Regression
Wolfgang Härdle
Last eBook Edition: 2006

This book concentrates on the statistical aspects of nonParametric regression smoothing form an applied point of view. The methods covered in this text can be used in biometry, econometrics, engineering and mathematics. The two central problems discussed are the choice of smoothing parameter and the construction of confidence bands in practice. Various smoothing methods among them splines and orthogonal polynomials are presented and discussed in their qualitative aspects. To simplify the exposition kernel smoothers are investigated in greater detailed.

eBook Contents

Regression smoothing (Introduction, Basic idea of smoothing, Smoothing techniques) – The kernel method (How close is the smooth to the true curve, Choosing the smoothing parameter) – XploRe - Tables – Bibliography – Index

eBook License: Copyrighted (Personal Use Only)

Free PDF eBook - 3,1 Mb - 426 pages
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